Data Science Leadership Position

4 days ago


Chicago, Illinois, United States CNA Insurance Full time
Job Description

CNA Insurance is seeking a highly skilled Data Science Consulting Director to join our Actuarial Organization.

Key Responsibilities
  • Lead the development of actuarial pricing models across commercial and specialty lines.
  • Utilize cloud-based technologies and data infrastructure to build repeatable and standardized analysis pipelines to accelerate and scale pricing model review cycle.
  • Use appropriate statistical and machine learning techniques to develop actuarial pricing models that address business needs, and clearly communicate appropriateness of modeling techniques to both technical and non-technical stakeholders.
  • Collaborate with line of business actuaries and underwriters on evaluating business impacts of actuarial pricing models and present model results to senior management.
  • Ensure successful implementation, regular monitoring and maintenance of actuarial pricing models.
  • Build strong relationships with peers, business partners and leaders across multiple functions in order to influence pricing strategy through the use of actionable insights and analytics.
  • Provide subject matter expertise on the current and emerging predictive modeling techniques.
  • Lead the introduction of innovative data science methodologies and suggest improvements to existing best practices.
Requirements
  • Proficient with SQL and advanced knowledge of R or Python.
  • Deep expertise in applying statistical modeling and machine learning methods to solve pricing problems.
  • Passion for learning new tools and staying up to date with industry trends, best practices, and emerging technologies.
  • Strong interpersonal and communication skills with proven experience influencing business partners at various levels and ability to achieve results by taking a proactive long-term view of business goals and objectives.
  • Excellent analytical, critical thinking and problem-solving skills with the ability to effectively resolve complex situations and issues.
  • Proven ability to exercise professional judgement and assume responsibility for decisions which have an impact on business and quality of service.
  • Solid organization and project management skills with the ability to balance multiple concurrent projects with shifting priorities, and the ability to work both independently as well as within a team environment.
  • Ability to creatively and effectively manage through ambiguous and challenging problems, and leads through change.
Education and Experience
  • PhD in a quantitative discipline such as statistics, mathematics, economics, operations research, computer science or data science.
  • Typically a minimum of ten years of relevant work experience.


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